If \( X \) is a Poisson variate such that \( 4P(X=2)=3P(X=1) \), then the mean of the distribution is equal to:
Answer & explanation
Correct answer: option 1
The correct answer is Option (1) → 1.5
For a Poisson distribution with mean λ,
\( \displaystyle P(X=r)=\frac{e^{-\lambda}\lambda^r}{r!} \)
So
\( \displaystyle 4\cdot\frac{e^{-\lambda}\lambda^2}{2!}=3\cdot\frac{e^{-\lambda}\lambda}{1!} \)
Cancel \( e^{-\lambda}\lambda \) (both are non-zero):
\( 2\lambda=3 \)
\( \lambda=1.5 \)
So the mean of the distribution is 1.5.
Shortcut: Use the ratio of successive Poisson probabilities, \( \frac{P(X=2)}{P(X=1)}=\frac{\lambda}{2} \). Here the ratio is \( \frac{3}{4} \), so \( \lambda=\frac{3}{2}=1.5 \).